Utilizing hidden Markov processes as a tool for experimental physicsI. Kanter, A. Frydman and A. Ater
Minerva Center and the Department of Physics, Bar-Ilan University Ramat-Gan 52900, Israel
received 16 November 2004; accepted 23 December 2004
published online 2 February 2005
A hidden Markov process is a well-known concept in information theory and is used for a vast range of applications such as speech recognition and error correction. We bridge between two disciplines, experimental physics and advanced algorithms, and propose to use a physically oriented hidden Markov process as a new tool for analyzing experimental data. This tool enables one to extract valuable information on physical parameters of complex systems. We demonstrate the usefulness of this technique on low-dimensional electronic systems which exhibit time-dependent resistance noise. This method is expected to become a standard technique in experimental physics.
74.78.Na - Mesoscopic and nanoscale systems.
02.50.Ga - Markov processes.
© EDP Sciences 2005